This Convolutional Neural Network (CNN) architecture template, created with EdrawMax, visually illustrates the key stages of a CNN model, including input processing, convolution, pooling, feature extraction, and classification through fully connected layers. Perfect for machine learning and AI professionals, this diagram simplifies the complexity of CNNs, making it an ideal resource for educational materials, research papers, and presentations. Customize this template to fit your specific use case, whether explaining deep learning principles or visualizing neural network operations.